Especially for companies whose business model is not originally digital, it is important to soberly evaluate meaningful areas of application for machine learning and not to rely on blanket promises of progress.

In this blog post we explain how to work efficiently with geodata in Python. Geodata can symbolize different objects – the most important are the following three. Points (e.g. individual addresses or measuring points) Lines (e.g. routes) Polygons (e.g. countries or postcode areas) In addition to coordinate formats, geodata can also be stored as addresses. We’ll explain in this post: …